A metamodeling framework for extending the application domain of process-based ecological models

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dc.creatorSparks, Adam H.
dc.creatorForbes, G.
dc.creatorHijmans R.J.
dc.creatorGarrett, K.A.
dc.date2011-08
dc.date2014-08-15T12:13:23Z
dc.date2014-08-15T12:13:23Z
dc.date.accessioned2026-06-27T18:00:23Z
dc.descriptionProcess-based ecological models used to assess organisms' responses to environmental conditions often need input data at a high temporal resolution, e.g., hourly or daily weather data. Such input data may not be available at a high spatial resolution for large areas, limiting opportunities to use such models. Here we present a metamodeling framework to develop reduced form ecological models that use lower resolution input data than the original process models. We used generalized additive models to create metamodels for an existing model that uses hourly data to predict risk of potato late blight, caused by the plant pathogen Phytophthora infestans. The metamodels used daily or monthly weather data, and their predictions maintained the key features of the original model. This approach can be applied to other complex models, allowing them to be used more widely.
dc.identifierhttps://hdl.handle.net/10568/42088
dc.identifier.urihttp://hdl.handle.net/123456789/152186
dc.languageen
dc.publisherWiley
dc.rightsOpen Access
dc.sourceSparks AH, Forbes GA, Hijmans RJ, Garrett KA. 2011. A metamodeling framework for extending the application domain of process-based ecological models. Ecosphere 2(8):14 p.
dc.subjectagriculture
dc.subjectclimate
dc.subjectphytophthora infestans
dc.subjectenvironmental modelling
dc.titleA metamodeling framework for extending the application domain of process-based ecological models
dc.typeJournal Article

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Centro Internacional de la Papa (CIP)